Mark Paulik

1.3k total citations
38 papers, 1.0k citations indexed

About

Mark Paulik is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Mark Paulik has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Cell Biology and 12 papers in Physiology. Recurrent topics in Mark Paulik's work include Cellular transport and secretion (9 papers), Adipose Tissue and Metabolism (9 papers) and Lipid Membrane Structure and Behavior (7 papers). Mark Paulik is often cited by papers focused on Cellular transport and secretion (9 papers), Adipose Tissue and Metabolism (9 papers) and Lipid Membrane Structure and Behavior (7 papers). Mark Paulik collaborates with scholars based in United States, Germany and Netherlands. Mark Paulik's co-authors include James M. Lenhard, James E. Weiel, D. James Morré, Eric S. Furfine, Mary E. Lancaster, Dorothy M. Morré, D. James Morré, D. J. Morr�, Steven G. Blanchard and Olivia Ittoop and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Mark Paulik

37 papers receiving 991 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Paulik United States 18 609 214 179 168 153 38 1.0k
Carlos A. Barrero United States 23 596 1.0× 276 1.3× 121 0.7× 34 0.2× 56 0.4× 49 1.4k
B. Gonzalez United States 13 588 1.0× 69 0.3× 293 1.6× 59 0.4× 81 0.5× 20 1.0k
Hans‐Peter Eck Germany 20 611 1.0× 202 0.9× 65 0.4× 180 1.1× 115 0.8× 24 1.8k
Jürgen Bock Germany 15 1.0k 1.7× 183 0.9× 115 0.6× 22 0.1× 61 0.4× 20 1.4k
Elizabeth A. Lane United States 14 331 0.5× 63 0.3× 51 0.3× 26 0.2× 139 0.9× 36 808
Pornpun Vivithanaporn Thailand 21 309 0.5× 79 0.4× 37 0.2× 157 0.9× 223 1.5× 69 1.2k
Donald E. Sykes United States 21 502 0.8× 66 0.3× 54 0.3× 50 0.3× 97 0.6× 39 1.2k
Fred Mermelstein United States 18 1.1k 1.8× 81 0.4× 134 0.7× 28 0.2× 29 0.2× 27 1.6k
Nassirah Khandoudi France 15 692 1.1× 267 1.2× 17 0.1× 65 0.4× 173 1.1× 22 1.3k
Aurelio A. Moya‐García Spain 15 318 0.5× 59 0.3× 22 0.1× 106 0.6× 80 0.5× 30 585

Countries citing papers authored by Mark Paulik

Since Specialization
Citations

This map shows the geographic impact of Mark Paulik's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Paulik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Paulik more than expected).

Fields of papers citing papers by Mark Paulik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Paulik. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Paulik. The network helps show where Mark Paulik may publish in the future.

Co-authorship network of co-authors of Mark Paulik

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Paulik. A scholar is included among the top collaborators of Mark Paulik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Paulik. Mark Paulik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Rajpal, Deepak K., David Mayhew, Joyce A. Boucheron, et al.. (2015). Selective Spectrum Antibiotic Modulation of the Gut Microbiome in Obesity and Diabetes Rodent Models. PLoS ONE. 10(12). e0145499–e0145499. 40 indexed citations
3.
Tardif, Suzette D., et al.. (2009). Characterization of Obese Phenotypes in a Small Nonhuman Primate, the Common Marmoset (Callithrix jacchus). Obesity. 17(8). 1499–1505. 56 indexed citations
4.
Persky, Adam M., Chee M. Ng, Miaomiao Song, et al.. (2004). Comparison of the acute pharmacodynamic responses after single doses of ephedrine or sibutramine in healthy, overweight volunteers. International Journal of Clinical Pharmacology and Therapeutics. 42(8). 442–448. 6 indexed citations
5.
Uehling, David, David N. Deaton, Elizabeth E. Sugg, et al.. (2001). Synthesis and Evaluation of Potent and Selective β3 Adrenergic Receptor Agonists Containing Acylsulfonamide, Sulfonylsulfonamide, and Sulfonylurea Carboxylic Acid Isosteres. Journal of Medicinal Chemistry. 45(3). 567–583. 48 indexed citations
6.
Lenhard, James M., Eric S. Furfine, Renu Jain, et al.. (2000). HIV protease inhibitors block adipogenesis and increase lipolysis in vitro. Antiviral Research. 47(2). 121–129. 135 indexed citations
7.
Weiel, James E., et al.. (2000). Stimulation of vitamin A1 acid signaling by the HIV protease inhibitor indinavir. Biochemical Pharmacology. 59(9). 1063–1068. 54 indexed citations
8.
9.
Paulik, Mark, Paul A. Grieco, Chinpal Kim, et al.. (1999). Drug–antibody conjugates with anti-HIV activity. Biochemical Pharmacology. 58(11). 1781–1790. 5 indexed citations
10.
Paulik, Mark, Richard G. Buckholz, Mary E. Lancaster, et al.. (1998). Development of Infrared Imaging to Measure Thermogenesis in Cell Culture: Thermogenic Effects of Uncoupling Protein-2, Troglitazone, and β-Adrenoceptor Agonists. Pharmaceutical Research. 15(6). 944–949. 74 indexed citations
11.
12.
Morré, D. James, et al.. (1997). Is the Drug-Responsive NADH Oxidase of the Cancer Cell Plasma Membrane a Molecular Target for Adriamycin?. Journal of Bioenergetics and Biomembranes. 29(3). 269–280. 30 indexed citations
13.
Paulik, Mark, D. James Morré, & Dorothy M. Morré. (1995). A 55 kDa protein of transitional endoplasmic reticulum from rat liver binds retinol. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1266(3). 273–277. 2 indexed citations
14.
Morré, D. James, et al.. (1995). Identification of antitumor sulfonylurea binding proteins of HeLa plasma membranes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1236(2). 237–243. 26 indexed citations
15.
Morré, D. James, Dorothy M. Morré, Mark Paulik, et al.. (1992). Retinoic acid and calcitriol inhibition of growth and NADH oxidase of normal and immortalized human keratinocytes. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1134(3). 217–222. 15 indexed citations
16.
Waits, Lisette P., et al.. (1992). Temperature- and acceptor-specificity of cell-free vesicular transfer from transitional endoplasmic reticulum to the cis Golgi apparatus. Biochemical Journal. 288(3). 969–976. 6 indexed citations
17.
Moreau, Patrick, et al.. (1992). NADH-activated cell-free transfer between Golgi apparatus and plasma membranes of rat liver. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1107(1). 131–138. 15 indexed citations
18.
Morré, D. James, et al.. (1990). GTP hydrolysis by transitional endoplasmic reticulum from rat liver inhibited by all-trans-retinol. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1055(3). 230–233. 6 indexed citations
19.
Paulik, Mark, et al.. (1990). Retinoid modulation of cell-free membrane transfer between endoplasmic reticulum and Golgi apparatus. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1051(3). 250–258. 17 indexed citations
20.
Morré, D. James, et al.. (1989). Identification of the 16°C compartment of the endoplasmic reticulum in rat liver and cultured hamster kidney cells. Biology of the Cell. 67(1). 51–60. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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